Near-infrared spectroscopic determination of human serum albumin, γ-globulin, and glucose in a control serum solution with searching combination moving window partial least squares

Near-infrared (NIR) spectra in the region of 5000–4000 cm−1 with a chemometric method called searching combination moving window partial least squares (SCMWPLS) were employed to determine the concentrations of human serum albumin (HSA), γ-globulin, and glucose contained in the control serum IIB (CS IIB) solutions with various concentrations. SCMWPLS is proposed to search for the optimized combinations of informative regions, which are spectral intervals, considered containing useful information for building partial least squares (PLS) models. The informative regions can easily be found by moving window partial least squares regression (MWPLSR) method. PLS calibration models using the regions obtained by SCMWPLS were developed for HSA, γ-globulin, and glucose. These models showed good prediction with the smallest root mean square error of predictions (RMSEP), the relatively small number of PLS factors, and the highest correlation coefficients among the results achieved by using whole region and MWPLSR methods. The RMSEP values of HSA, γ-globulin, and glucose yielded by SCMWPLS were 0.0303, 0.0327, and 0.0195 g/dl, respectively. These results prove that SCMWPLS can be successfully applied to determine simultaneously the concentrations of HSA, γ-globulin, and glucose in complicated biological fluids such as CS IIB solutions by using NIR spectroscopy.

[1]  Y. Ozaki,et al.  Determination of human serum albumin and γ-globulin in a control serum solution by near-infrared spectroscopy and partial least squares regression , 1998 .

[2]  Y. Ozaki,et al.  Near-infrared spectra of serum albumin and γ-globulin and determination of their concentrations in phosphate buffer solutions by partial least squares regression , 1998 .

[3]  J. Jákó,et al.  Rapid Analysis of Whole Blood and Blood Serum Using near Infrared Spectroscopy , 1994 .

[4]  Paul Geladi,et al.  Interactive variable selection (IVS) for PLS. Part 1: Theory and algorithms , 1994 .

[5]  J. W. Hall,et al.  Near-infrared spectroscopic determination of serum total proteins, albumin, globulins, and urea. , 1993, Clinical biochemistry.

[6]  Kevin H. Hazen,et al.  Measurement of glucose and other analytes in undiluted human serum with near-infrared transmission spectroscopy , 1998 .

[7]  Shubjeet Kaur,et al.  Investigation of Noninvasive in vivo Blood Hematocrit Measurement Using NIR Reflectance Spectroscopy and Partial Least-Squares Regression , 2000 .

[8]  H. M. Heise,et al.  Clinical Chemistry and near Infrared Spectroscopy: Technology for Non-Invasive Glucose Monitoring , 1998 .

[9]  Y. Nakano,et al.  Measurement of the Concentrations of Glucose and Citric Acid in the Aqueous Solution of a Blood Anticoagulant Using near Infrared Spectroscopy , 2001 .

[10]  J. W. Hall,et al.  Near-infrared spectrophotometry: a new dimension in clinical chemistry. , 1992, Clinical chemistry.

[11]  M. Hearn,et al.  Using near Infrared Spectroscopy to Monitor the Preparation of Compounds for Screening as Antituberculosis Drugs , 1995 .

[12]  David M. Haaland,et al.  Reagentless Near-Infrared Determination of Glucose in Whole Blood Using Multivariate Calibration , 1992 .

[13]  S. Wold,et al.  Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data. , 2002, Analytical chemistry.

[14]  K. Norris,et al.  Near Infrared Hemoglobinometry , 1995 .

[15]  Paul H. C. Eilers,et al.  Generalized linear regression on sampled signals and curves: a P -spline approach , 1999 .

[16]  Yi-Ping Du,et al.  Simultaneous determination of human serum albumin, gamma-globulin, and glucose in a phosphate buffer solution by near-infrared spectroscopy with moving window partial least-squares regression. , 2003, The Analyst.

[17]  Jian-hui Jiang,et al.  Spectral regions selection to improve prediction ability of PLS models by changeable size moving window partial least squares and searching combination moving window partial least squares , 2004 .

[18]  H. M. Heise,et al.  Clinical Chemistry and near Infrared Spectroscopy: Multicomponent Assay for Human Plasma and its Evaluation for the Determination of Blood Substrates , 1998 .

[19]  Jonas Johansson,et al.  Comparison of different variable selection methods conducted on NIR transmission measurements on intact tablets , 2003 .

[20]  H. Heise,et al.  Multivariate calibration for protein, cholesterol and triglycerides in human plasma using short-wave near infrared spectrometry , 1995 .

[21]  M A Arnold,et al.  Determination of physiological levels of glucose in an aqueous matrix with digitally filtered Fourier transform near-infrared spectra. , 1990, Analytical chemistry.

[22]  Y. Ozaki,et al.  Multivariate Determination of Human Serum Albumin and γ-Globulin in a Phosphate Buffer Solution by near Infrared Spectroscopy , 1998 .